Alireza Nezamzadeh

About

Alireza Nezamzadeh earned the B.Sc. degree in electrical engineering from Shahrekord University, Iran, in 2019, and the M.Sc. degree in control engineering from Isfahan University of Technology, Iran, in 2022. He was a member of the Scientific Society of Electrical Engineering at Shahrekord University and served as a teaching assistant from 2019 to 2022. His research interests encompass robust control, learning-based controllers, multi-agent systems, reinforcement learning, fault-tolerant control, and predictive control.

Research

I'm developing a smart control system designed to optimize heating efficiency in buildings while maintaining a comfortable indoor environment for occupants, taking into account temperature and other factors. The objective is to reduce energy consumption during peak hours and support demand-response programs while ensuring that indoor temperatures remain comfortable, avoiding extremes of heat or cold. Moreover, I am organizing building information, including details about rooms, heating equipment, sensors, and temperature settings, to ensure it can be safely utilized for analysis and control. Our control system design aims to adapt to categories of buildings rather than being strictly defined by the model of the system, a method referred to as a data-driven approach. Additionally, I aim to develop a prediction model that analyzes how variations in weather, occupancy, and heating activities influence indoor temperature changes over time. This model will help mitigate the impact of disturbances or uncertainties on the system. We use these predictions to strategically plan optimal heating decisions ahead of time, which improves the efficiency and flexibility of building operations in practical situations.

Sustainable Energy Systems

Publications

Conference papers:

A. Nezamzadeh, H. Jalaly Bidgoly, and M. Kamali, ”Cooperative Coverage Path Planning Using Q-Learning and Sarsa in Two Environments”, In 2024 32nd International Conference on Electrical Engineering (ICEE), pp. 1-5. IEEE, 2024 [LINK].

A. Nezamzadeh, M. Esmaeilidehkordi, ”Disturbance Rejection in Quadruple-Tank System by Proposing New Method in Reinforcement Learning”, In 2024 14th International Conference on Computer and Knowledge Engineering (ICCKE), pp. 137- 142. IEEE, 2024 [LINK].

A. Nezamzadeh, M. Esmaeilidehkordi, ”Fault Tolerant Control of Synchronous Generator Using a New MPC Controller Approach”, In 29th International Electrical Power Distribution Conference (EPDC), IEEE, 2025 [LINK].

M. Esmaeilidehkordi, A. Nezamzadeh, M. Zekri, I. Izadi, F. Sheikholeslam, ”Type-2 Fuzzy Wavelet Control for a Quadruple-Tank System based on Disturbance Rejection”, In 33rd International Conference on Electrical Engineering (ICEE), IEEE, 2025 [LINK].

A. Nezamzadeh, M. Esmaeilidehkordi, ”Rapid Fault Detection Strategy for Synchronous Generators Connected to Power Grid”, In 2025 15th Smart Grid Conference (SGC), Accepted.

Journal papers:

M. Esmaeilidehkordi, M. Zekri, I. Izadi, F. Sheikholeslam, A. Nezamzadeh, W. Kinsner, S. Hosseinpour, N. Sepehri, “Sequential Type-2 Fuzzy Wavelet Extreme Learning Machine for Robust Online Control Applications”, Under revision by the IEEE Access journal.

A. Nezamzadeh, M. Esmaeilidehkordi, A. Yazdani, H. Habibi” Rapid Fault Detection and Fault-Tolerant Control of Permanent Magnet Linear Motors in the Presence of Actuator Faults, Disturbance, and Sensor Noise”, Preprint journal article.

A. Nezamzadeh, M. Esmaeilidehkordi, M. Naghdi, I. Izadi” A Hybrid Brain Emotional Learning Controller Combined with a Fuzzy Extended State Observer for Robust Control of Piezoelectric Actuators”, Preprint journal article.

Språkvelger

Alireza Nezamzadeh